Characterizing and modelling the spatial patterns of wildfire ignitions in Portugal: Fire initiation and resulting burned area

WIT Transactions on Ecology and the Environment

Volumn 119, Issue , 2008, Pages 213-221

  Catry, F X ^a   Rego, F C ^a   Moreira, F ^a   Bacao, F ^b  

^a INSTITUTO SUPERIOR DE AGRONOMIA   (Portugal)

^b NOVA INFORMATION MANAGEMENT SCHOOL NOVA IMS   (Portugal)

Author keywords

Fire ignition; GIS; Logistic regression; Portugal; Spatial patterns; Wildfires

Indexed keywords

DATABASE; DECISION MAKING; ECOLOGICAL MODELING; FIRE MANAGEMENT; FREQUENCY ANALYSIS; GIS; HUMAN ACTIVITY; POPULATION DENSITY; REGRESSION ANALYSIS; SHRUBLAND; SPATIAL ANALYSIS; WILDFIRE;

EURASIA; EUROPE; PORTUGAL; SOUTHERN EUROPE;

EID: 58849138409     PISSN: 17433541     EISSN: None     Source Type: Journal    
DOI: 10.2495/FIVA080221     Document Type: Article

References (27)

1. EC, Forest fires in Europe 2006. Official Publication of the European Commission, EUR 22931 EN, 2007.
2. Bonazountas, M., Kallidromitou, D., Kassomenos, P.A. & Passas, N., Forest fire risk analysis. Human and Ecological Risk Assessment, 11, pp. 617-626, 2005.
3. Chuvieco, E. Allgöwer, B. & Salas, J., Integration of physical and human factors in fire danger assessment (Chapter 7). Wildland fire dangerestimation and mapping. The role of remote sensing data, ed. E. Chuvieco, World Scientific Publishing: Singapore, pp. 197-217, 2003.
4. Finney, M.A., The challenge of quantitative risk analysis for wildland fire. Forest Ecology and Management, 211, pp. 97-108, 2005.
5. Johnson, E.A. & Miyanishi, K., Forest fires: behavior and ecological effects, Academic press: USA, 594 p., 2001.
6. Roloff, G.J., Mealey, S.P., Clay, C., Barry, J., Yanish, C. & Neuenschwander, L., A process for modelling short and long-term risk in the southern Oregon Cascades. Forest Ecology and Management, 211, pp. 166-190, 2005.
7. Vasconcelos, M.J.P., Silva, S., Tomé, M., Alvim, M. & Pereira, J.M.C., Spatial prediction of fire ignition probabilities: comparing logistic regression and neural networks. Photogrametric Engineering & Remote Sensing, 67(1), pp. 73-81, 2001.
8. Vasilakos, C., Kalabokidis, K., Hatzopoulos, J., Kallos, G., Matsinos, Y., Integrating new methods and tools in fire danger rating. International Journal of Wildland Fire, 16(3), pp. 306-316, 2007.
9. Badia-Perpinyà, A. & Pallares-Barbera, M., Spatial distribution of ignitions in Mediterranean periurban and rural areas: the case of Catalonia. International Journal of Wildland Fire, 15, pp. 187-196, 2006.
10. Cardille, J.A., Ventura, S.J. & Turner, M.G., Environmental and social factors influencing wildfires in the Upper Midwest, USA. Ecological Applications11(1), pp. 111-127, 2001.
11. Catry, F.X., Modeling and mapping the occurrence of wildfire ignitions in Portugal. Master Thesis - Science and Geographic Information Systems. ISEGI - UNL, 2007.
12. Loboda, T.V. & Csiszar, I.A., Assessing the risk of ignition in the Russian Far East within a modelling framework of fire threat. Ecological Applications, 17(3), pp. 791-805, 2007.
13. Mercer, D.E. & Prestemon, J.P., Comparing production function models for wildfire risk analysis in the wildland-urban interface. Forest Policy and Economics, 7, pp. 782-795, 2005.
14. Yang, J., Healy, H.S., Shifley, S.R., Gustafson, E.J., Spatial patterns of modern period human-caused fire occurrence in the Missouri Ozark Highlands. Forest Science, 53(1), pp. 1-15, 2007.
15. Romero-Calcerrada, R., Novillo, C.J., Millington, J.D.A. & Gomez- Jimenez, I., GIS analysis of spatial patterns of human-caused wildfire ignition risk in the SW of Madrid (Central Spain). Landscape Ecology, 23, pp. 341-354, 2008.
16. DGRF, Incêndios florestais - Relatório de 2005. Divisão de Defesa da Floresta Contra Incêndios. Direcçã o-Geral dos Recursos Florestais: Lisboa, 2006.
17. MMA, Los incendios forestales en España. Decenio 1996-2005. Area de Defensa Contra Incendios Forestales. Ministerio de Medio Ambiente: Madrid, 2007.
18. INE, Dados estatísticos da população em Portugal - Censos 2001. Instituto Nacional de Estatística, 2003. [database]
19. IA, CORINE Land Cover 2000 Portugal. Instituto do Ambiente, 2005. [map]
20. IGEOE, Carta Militar Itinerária de Portugal. Instituto Geográfico do Exército, 2005. [map]
21. NASA, NIMA, DLR, ASI Digital elevation model, 2004 [map].
22. Sokal, R.R. & Rohlg, F.J., Biometry, W.H. Freeman and Company: New York, 1987.
23. Hosmer, D.W. & Lemeshow, S., Applied logistic regression, John Wiley and Sons: New York, 1989.
24. Vega-Garcia, C., Woodard, P.M., Titus, S.J., Adamowicz, W.L., Lee, B.S., A logit model for predicting the daily occurrence of human caused forest fires. International Journal of Wildland Fire5(2), pp. 101-111, 1995.
25. Preisler, H.K., Brillinger, D.R., Burgan, R.E. & Benoir, J.W., Probability based models for estimation of wildfire risk. International Journal of Wildland Fire, 13, pp. 133-142, 2004.
26. SPSS, SPSS for Windows. SPSS Inc.: Chicago, 2006.
27. Manel, S., Williams, H. & Ormerod, S.J., Evaluating presence-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology, 38, 921-931, 2001.